Profile Report of the UCI Bank Marketing Dataset

Dataset statistics

Number of variables	17
Number of observations	45211
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	29.2 MiB
Average record size in memory	677.2 B

Variable types

Numeric	7
Categorical	6
Boolean	4

Alerts

`pdays` is highly correlated with `poutcome`	High correlation
`previous` is highly correlated with `pdays`	High correlation
`housing` is highly correlated with `month`	High correlation
`contact` is highly correlated with `month`	High correlation
`month` is highly correlated with `housing` and 2 other fields	High correlation
`poutcome` is highly correlated with `pdays`	High correlation
`age` is highly correlated with `job`	High correlation
`job` is highly correlated with `age` and 1 other fields	High correlation
`education` is highly correlated with `job`	High correlation
`day` is highly correlated with `month`	High correlation
`previous` is highly skewed (γ1 = 41.84645447)	Skewed
`balance` has 3514 (7.8%) zeros	Zeros
`previous` has 36954 (81.7%) zeros	Zeros

Reproduction

Analysis started	2022-10-20 17:46:13.878186
Analysis finished	2022-10-20 17:46:27.899102
Duration	14.02 seconds
Software version	pandas-profiling v3.3.1
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	77
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.93621021

Minimum	18
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Dataset statistics

Number of variables	17
Number of observations	45211
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	29.2 MiB
Average record size in memory	677.2 B

Variable types

Numeric	7
Categorical	6
Boolean	4

Alerts

`pdays` is highly correlated with `poutcome`	High correlation
`previous` is highly correlated with `pdays`	High correlation
`housing` is highly correlated with `month`	High correlation
`contact` is highly correlated with `month`	High correlation
`month` is highly correlated with `housing` and 2 other fields	High correlation
`poutcome` is highly correlated with `pdays`	High correlation
`age` is highly correlated with `job`	High correlation
`job` is highly correlated with `age` and 1 other fields	High correlation
`education` is highly correlated with `job`	High correlation
`day` is highly correlated with `month`	High correlation
`previous` is highly skewed (γ1 = 41.84645447)	Skewed
`balance` has 3514 (7.8%) zeros	Zeros
`previous` has 36954 (81.7%) zeros	Zeros

Reproduction

Analysis started	2022-10-20 18:26:48.174071
Analysis finished	2022-10-20 18:27:00.164511
Duration	11.99 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	77
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.93621021

Minimum	18
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Quantile statistics

Minimum	18
5-th percentile	27
Q1	33
median	39
Q3	48
95-th percentile	59
Maximum	95
Range	77
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.61876204
Coefficient of variation (CV)	0.2593977797
Kurtosis	0.3195703759
Mean	40.93621021
Median Absolute Deviation (MAD)	7
Skewness	0.6848179257
Sum	1850767
Variance	112.7581073
Monotonicity	Not monotonic

Quantile statistics

Minimum	18
5-th percentile	27
Q1	33
median	39
Q3	48
95-th percentile	59
Maximum	95
Range	77
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.61876204
Coefficient of variation (CV)	0.2593977797
Kurtosis	0.3195703759
Mean	40.93621021
Median Absolute Deviation (MAD)	7
Skewness	0.6848179257
Sum	1850767
Variance	112.7581073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	2085	4.6%
31	1996	4.4%
33	1972	4.4%
34	1930	4.3%
35	1894	4.2%
36	1806	4.0%
30	1757	3.9%
37	1696	3.8%
39	1487	3.3%
38	1466	3.2%
Other values (67)	27122	60.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	12	< 0.1%
19	35	0.1%
20	50	0.1%
21	79	0.2%
22	129	0.3%
23	202	0.4%
24	302	0.7%
25	527	1.2%
26	805	1.8%
27	909	2.0%

Value	Count	Frequency (%)
95	2	< 0.1%
94	1	< 0.1%
93	2	< 0.1%
92	2	< 0.1%
90	2	< 0.1%
89	3	< 0.1%
88	2	< 0.1%
87	4	< 0.1%
86	9	< 0.1%
85	5	< 0.1%

job
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

blue-collar	9732
management	9458
technician	7597
admin.	5171
services	4154
Other values (7)	9099

Length

Max length	13
Median length	12
Mean length	9.485545553
Min length	6

Characters and Unicode

Total characters	428851
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	management
2nd row	technician
3rd row	entrepreneur
4th row	blue-collar
5th row	unknown

Common Values

Value	Count	Frequency (%)
blue-collar	9732	21.5%
management	9458	20.9%
technician	7597	16.8%
admin.	5171	11.4%
services	4154	9.2%
retired	2264	5.0%
self-employed	1579	3.5%
entrepreneur	1487	3.3%
unemployed	1303	2.9%
housemaid	1240	2.7%
Other values (2)	1226	2.7%

Length

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	2085	4.6%
31	1996	4.4%
33	1972	4.4%
34	1930	4.3%
35	1894	4.2%
36	1806	4.0%
30	1757	3.9%
37	1696	3.8%
39	1487	3.3%
38	1466	3.2%
Other values (67)	27122	60.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	12	< 0.1%
19	35	0.1%
20	50	0.1%
21	79	0.2%
22	129	0.3%
23	202	0.4%
24	302	0.7%
25	527	1.2%
26	805	1.8%
27	909	2.0%

Value	Count	Frequency (%)
95	2	< 0.1%
94	1	< 0.1%
93	2	< 0.1%
92	2	< 0.1%
90	2	< 0.1%
89	3	< 0.1%
88	2	< 0.1%
87	4	< 0.1%
86	9	< 0.1%
85	5	< 0.1%

job
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

blue-collar	9732
management	9458
technician	7597
admin.	5171
services	4154
Other values (7)	9099

Length

Max length	13
Median length	12
Mean length	9.485545553
Min length	6

Characters and Unicode

Total characters	428851
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	management
2nd row	technician
3rd row	entrepreneur
4th row	blue-collar
5th row	unknown

Common Values

Value	Count	Frequency (%)
blue-collar	9732	21.5%
management	9458	20.9%
technician	7597	16.8%
admin.	5171	11.4%
services	4154	9.2%
retired	2264	5.0%
self-employed	1579	3.5%
entrepreneur	1487	3.3%
unemployed	1303	2.9%
housemaid	1240	2.7%
Other values (2)	1226	2.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
blue-collar	9732	21.5%
management	9458	20.9%
technician	7597	16.8%
admin	5171	11.4%
services	4154	9.2%
retired	2264	5.0%
self-employed	1579	3.5%
entrepreneur	1487	3.3%
unemployed	1303	2.9%
housemaid	1240	2.7%
Other values (2)	1226	2.7%

Most occurring characters

Value	Count	Frequency (%)
e	64550	15.1%
n	45360	10.6%
a	42656	9.9%
l	33657	7.8%
c	29080	6.8%
m	28209	6.6%
i	28023	6.5%
r	22875	5.3%
t	22682	5.3%
u	14988	3.5%
Other values (14)	96771	22.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	412369	96.2%
Dash Punctuation	11311	2.6%
Other Punctuation	5171	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	64550	15.7%
n	45360	11.0%
a	42656	10.3%
l	33657	8.2%
c	29080	7.1%
m	28209	6.8%
i	28023	6.8%
r	22875	5.5%
t	22682	5.5%
u	14988	3.6%
Other values (12)	80289	19.5%

Dash Punctuation

Value	Count	Frequency (%)
-	11311	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	5171	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	412369	96.2%
Common	16482	3.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	64550	15.7%
n	45360	11.0%
a	42656	10.3%
l	33657	8.2%
c	29080	7.1%
m	28209	6.8%
i	28023	6.8%
r	22875	5.5%
t	22682	5.5%
u	14988	3.6%
Other values (12)	80289	19.5%

Common

Value	Count	Frequency (%)
-	11311	68.6%
.	5171	31.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	428851	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	64550	15.1%
n	45360	10.6%
a	42656	9.9%
l	33657	7.8%
c	29080	6.8%
m	28209	6.6%
i	28023	6.5%
r	22875	5.3%
t	22682	5.3%
u	14988	3.5%
Other values (14)	96771	22.6%

marital
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

married	27214
single	12790
divorced	5207

Length

Max length	8
Median length	7
Mean length	6.832275331
Min length	6

Characters and Unicode

Total characters	308894
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	married
2nd row	single
3rd row	married
4th row	married
5th row	single

Common Values

Value	Count	Frequency (%)
married	27214	60.2%
single	12790	28.3%
divorced	5207	11.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
blue-collar	9732	21.5%
management	9458	20.9%
technician	7597	16.8%
admin	5171	11.4%
services	4154	9.2%
retired	2264	5.0%
self-employed	1579	3.5%
entrepreneur	1487	3.3%
unemployed	1303	2.9%
housemaid	1240	2.7%
Other values (2)	1226	2.7%

Most occurring characters

Value	Count	Frequency (%)
e	64550	15.1%
n	45360	10.6%
a	42656	9.9%
l	33657	7.8%
c	29080	6.8%
m	28209	6.6%
i	28023	6.5%
r	22875	5.3%
t	22682	5.3%
u	14988	3.5%
Other values (14)	96771	22.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	412369	96.2%
Dash Punctuation	11311	2.6%
Other Punctuation	5171	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	64550	15.7%
n	45360	11.0%
a	42656	10.3%
l	33657	8.2%
c	29080	7.1%
m	28209	6.8%
i	28023	6.8%
r	22875	5.5%
t	22682	5.5%
u	14988	3.6%
Other values (12)	80289	19.5%

Dash Punctuation

Value	Count	Frequency (%)
-	11311	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	5171	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	412369	96.2%
Common	16482	3.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	64550	15.7%
n	45360	11.0%
a	42656	10.3%
l	33657	8.2%
c	29080	7.1%
m	28209	6.8%
i	28023	6.8%
r	22875	5.5%
t	22682	5.5%
u	14988	3.6%
Other values (12)	80289	19.5%

Common

Value	Count	Frequency (%)
-	11311	68.6%
.	5171	31.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	428851	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	64550	15.1%
n	45360	10.6%
a	42656	9.9%
l	33657	7.8%
c	29080	6.8%
m	28209	6.6%
i	28023	6.5%
r	22875	5.3%
t	22682	5.3%
u	14988	3.5%
Other values (14)	96771	22.6%

marital
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

married	27214
single	12790
divorced	5207

Length

Max length	8
Median length	7
Mean length	6.832275331
Min length	6

Characters and Unicode

Total characters	308894
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	married
2nd row	single
3rd row	married
4th row	married
5th row	single

Common Values

Value	Count	Frequency (%)
married	27214	60.2%
single	12790	28.3%
divorced	5207	11.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
married	27214	60.2%
single	12790	28.3%
divorced	5207	11.5%

Most occurring characters

Value	Count	Frequency (%)
r	59635	19.3%
i	45211	14.6%
e	45211	14.6%
d	37628	12.2%
m	27214	8.8%
a	27214	8.8%
s	12790	4.1%
n	12790	4.1%
g	12790	4.1%
l	12790	4.1%
Other values (3)	15621	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	308894	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	59635	19.3%
i	45211	14.6%
e	45211	14.6%
d	37628	12.2%
m	27214	8.8%
a	27214	8.8%
s	12790	4.1%
n	12790	4.1%
g	12790	4.1%
l	12790	4.1%
Other values (3)	15621	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	308894	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	59635	19.3%
i	45211	14.6%
e	45211	14.6%
d	37628	12.2%
m	27214	8.8%
a	27214	8.8%
s	12790	4.1%
n	12790	4.1%
g	12790	4.1%
l	12790	4.1%
Other values (3)	15621	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	308894	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	59635	19.3%
i	45211	14.6%
e	45211	14.6%
d	37628	12.2%
m	27214	8.8%
a	27214	8.8%
s	12790	4.1%
n	12790	4.1%
g	12790	4.1%
l	12790	4.1%
Other values (3)	15621	5.1%

education
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

secondary	23202
tertiary	13301
primary	6851
unknown	1857

Length

Max length	9
Median length	9
Mean length	8.320585698
Min length	7

Characters and Unicode

Total characters	376182
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	tertiary
2nd row	secondary
3rd row	secondary
4th row	unknown
5th row	unknown

Common Values

Value	Count	Frequency (%)
secondary	23202	51.3%
tertiary	13301	29.4%
primary	6851	15.2%
unknown	1857	4.1%

Length

Value	Count	Frequency (%)
married	27214	60.2%
single	12790	28.3%
divorced	5207	11.5%

Most occurring characters

Value	Count	Frequency (%)
r	59635	19.3%
i	45211	14.6%
e	45211	14.6%
d	37628	12.2%
m	27214	8.8%
a	27214	8.8%
s	12790	4.1%
n	12790	4.1%
g	12790	4.1%
l	12790	4.1%
Other values (3)	15621	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	308894	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	59635	19.3%
i	45211	14.6%
e	45211	14.6%
d	37628	12.2%
m	27214	8.8%
a	27214	8.8%
s	12790	4.1%
n	12790	4.1%
g	12790	4.1%
l	12790	4.1%
Other values (3)	15621	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	308894	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	59635	19.3%
i	45211	14.6%
e	45211	14.6%
d	37628	12.2%
m	27214	8.8%
a	27214	8.8%
s	12790	4.1%
n	12790	4.1%
g	12790	4.1%
l	12790	4.1%
Other values (3)	15621	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	308894	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	59635	19.3%
i	45211	14.6%
e	45211	14.6%
d	37628	12.2%
m	27214	8.8%
a	27214	8.8%
s	12790	4.1%
n	12790	4.1%
g	12790	4.1%
l	12790	4.1%
Other values (3)	15621	5.1%

education
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

secondary	23202
tertiary	13301
primary	6851
unknown	1857

Length

Max length	9
Median length	9
Mean length	8.320585698
Min length	7

Characters and Unicode

Total characters	376182
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	tertiary
2nd row	secondary
3rd row	secondary
4th row	unknown
5th row	unknown

Common Values

Value	Count	Frequency (%)
secondary	23202	51.3%
tertiary	13301	29.4%
primary	6851	15.2%
unknown	1857	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
secondary	23202	51.3%
tertiary	13301	29.4%
primary	6851	15.2%
unknown	1857	4.1%

Most occurring characters

Value	Count	Frequency (%)
r	63506	16.9%
a	43354	11.5%
y	43354	11.5%
e	36503	9.7%
n	28773	7.6%
t	26602	7.1%
o	25059	6.7%
s	23202	6.2%
c	23202	6.2%
d	23202	6.2%
Other values (6)	39425	10.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	376182	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	63506	16.9%
a	43354	11.5%
y	43354	11.5%
e	36503	9.7%
n	28773	7.6%
t	26602	7.1%
o	25059	6.7%
s	23202	6.2%
c	23202	6.2%
d	23202	6.2%
Other values (6)	39425	10.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	376182	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	63506	16.9%
a	43354	11.5%
y	43354	11.5%
e	36503	9.7%
n	28773	7.6%
t	26602	7.1%
o	25059	6.7%
s	23202	6.2%
c	23202	6.2%
d	23202	6.2%
Other values (6)	39425	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	376182	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	63506	16.9%
a	43354	11.5%
y	43354	11.5%
e	36503	9.7%
n	28773	7.6%
t	26602	7.1%
o	25059	6.7%
s	23202	6.2%
c	23202	6.2%
d	23202	6.2%
Other values (6)	39425	10.5%

default
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	44.3 KiB

False	44396
True	815

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	44396	98.2%
True	815	1.8%

Value	Count	Frequency (%)
secondary	23202	51.3%
tertiary	13301	29.4%
primary	6851	15.2%
unknown	1857	4.1%

Most occurring characters

Value	Count	Frequency (%)
r	63506	16.9%
a	43354	11.5%
y	43354	11.5%
e	36503	9.7%
n	28773	7.6%
t	26602	7.1%
o	25059	6.7%
s	23202	6.2%
c	23202	6.2%
d	23202	6.2%
Other values (6)	39425	10.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	376182	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	63506	16.9%
a	43354	11.5%
y	43354	11.5%
e	36503	9.7%
n	28773	7.6%
t	26602	7.1%
o	25059	6.7%
s	23202	6.2%
c	23202	6.2%
d	23202	6.2%
Other values (6)	39425	10.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	376182	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	63506	16.9%
a	43354	11.5%
y	43354	11.5%
e	36503	9.7%
n	28773	7.6%
t	26602	7.1%
o	25059	6.7%
s	23202	6.2%
c	23202	6.2%
d	23202	6.2%
Other values (6)	39425	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	376182	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	63506	16.9%
a	43354	11.5%
y	43354	11.5%
e	36503	9.7%
n	28773	7.6%
t	26602	7.1%
o	25059	6.7%
s	23202	6.2%
c	23202	6.2%
d	23202	6.2%
Other values (6)	39425	10.5%

default
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	44.3 KiB

False	44396
True	815

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	44396	98.2%
True	815	1.8%

balance
Real number (ℝ)

ZEROS

Distinct	7168
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1362.272058

Minimum	-8019
Maximum	102127
Zeros	3514
Zeros (%)	7.8%
Negative	3766
Negative (%)	8.3%
Memory size	353.3 KiB

balance
Real number (ℝ)

ZEROS

Distinct	7168
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1362.272058

Minimum	-8019
Maximum	102127
Zeros	3514
Zeros (%)	7.8%
Negative	3766
Negative (%)	8.3%
Memory size	353.3 KiB

Quantile statistics

Minimum	-8019
5-th percentile	-172
Q1	72
median	448
Q3	1428
95-th percentile	5768
Maximum	102127
Range	110146
Interquartile range (IQR)	1356

Descriptive statistics

Standard deviation	3044.765829
Coefficient of variation (CV)	2.235064437
Kurtosis	140.7515466
Mean	1362.272058
Median Absolute Deviation (MAD)	448
Skewness	8.360308326
Sum	61589682
Variance	9270598.954
Monotonicity	Not monotonic

Quantile statistics

Minimum	-8019
5-th percentile	-172
Q1	72
median	448
Q3	1428
95-th percentile	5768
Maximum	102127
Range	110146
Interquartile range (IQR)	1356

Descriptive statistics

Standard deviation	3044.765829
Coefficient of variation (CV)	2.235064437
Kurtosis	140.7515466
Mean	1362.272058
Median Absolute Deviation (MAD)	448
Skewness	8.360308326
Sum	61589682
Variance	9270598.954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3514	7.8%
1	195	0.4%
2	156	0.3%
4	139	0.3%
3	134	0.3%
5	113	0.2%
6	88	0.2%
8	81	0.2%
23	75	0.2%
7	69	0.2%
Other values (7158)	40647	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-8019	1	< 0.1%
-6847	1	< 0.1%
-4057	1	< 0.1%
-3372	1	< 0.1%
-3313	1	< 0.1%
-3058	1	< 0.1%
-2827	1	< 0.1%
-2712	1	< 0.1%
-2604	1	< 0.1%
-2282	1	< 0.1%

Value	Count	Frequency (%)
102127	1	< 0.1%
98417	1	< 0.1%
81204	2	< 0.1%
71188	1	< 0.1%
66721	1	< 0.1%
66653	1	< 0.1%
64343	1	< 0.1%
59649	1	< 0.1%
58932	1	< 0.1%
58544	1	< 0.1%

housing
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	44.3 KiB

True	25130
False	20081

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	25130	55.6%
False	20081	44.4%

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3514	7.8%
1	195	0.4%
2	156	0.3%
4	139	0.3%
3	134	0.3%
5	113	0.2%
6	88	0.2%
8	81	0.2%
23	75	0.2%
7	69	0.2%
Other values (7158)	40647	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-8019	1	< 0.1%
-6847	1	< 0.1%
-4057	1	< 0.1%
-3372	1	< 0.1%
-3313	1	< 0.1%
-3058	1	< 0.1%
-2827	1	< 0.1%
-2712	1	< 0.1%
-2604	1	< 0.1%
-2282	1	< 0.1%

Value	Count	Frequency (%)
102127	1	< 0.1%
98417	1	< 0.1%
81204	2	< 0.1%
71188	1	< 0.1%
66721	1	< 0.1%
66653	1	< 0.1%
64343	1	< 0.1%
59649	1	< 0.1%
58932	1	< 0.1%
58544	1	< 0.1%

housing
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	44.3 KiB

True	25130
False	20081

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	25130	55.6%
False	20081	44.4%

loan
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	44.3 KiB

False	37967
True	7244

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	37967	84.0%
True	7244	16.0%

loan
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	44.3 KiB

False	37967
True	7244

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	37967	84.0%
True	7244	16.0%

contact
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

cellular	29285
unknown	13020
telephone	2906

Length

Max length	9
Median length	8
Mean length	7.77629338
Min length	7

Characters and Unicode

Total characters	351574
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	unknown
3rd row	unknown
4th row	unknown
5th row	unknown

Common Values

Value	Count	Frequency (%)
cellular	29285	64.8%
unknown	13020	28.8%
telephone	2906	6.4%

Length

contact
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

cellular	29285
unknown	13020
telephone	2906

Length

Max length	9
Median length	8
Mean length	7.77629338
Min length	7

Characters and Unicode

Total characters	351574
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	unknown
3rd row	unknown
4th row	unknown
5th row	unknown

Common Values

Value	Count	Frequency (%)
cellular	29285	64.8%
unknown	13020	28.8%
telephone	2906	6.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cellular	29285	64.8%
unknown	13020	28.8%
telephone	2906	6.4%

Most occurring characters

Value	Count	Frequency (%)
l	90761	25.8%
u	42305	12.0%
n	41966	11.9%
e	38003	10.8%
c	29285	8.3%
a	29285	8.3%
r	29285	8.3%
o	15926	4.5%
k	13020	3.7%
w	13020	3.7%
Other values (3)	8718	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	351574	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	90761	25.8%
u	42305	12.0%
n	41966	11.9%
e	38003	10.8%
c	29285	8.3%
a	29285	8.3%
r	29285	8.3%
o	15926	4.5%
k	13020	3.7%
w	13020	3.7%
Other values (3)	8718	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	351574	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	90761	25.8%
u	42305	12.0%
n	41966	11.9%
e	38003	10.8%
c	29285	8.3%
a	29285	8.3%
r	29285	8.3%
o	15926	4.5%
k	13020	3.7%
w	13020	3.7%
Other values (3)	8718	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	351574	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	90761	25.8%
u	42305	12.0%
n	41966	11.9%
e	38003	10.8%
c	29285	8.3%
a	29285	8.3%
r	29285	8.3%
o	15926	4.5%
k	13020	3.7%
w	13020	3.7%
Other values (3)	8718	2.5%

day
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.80641879

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Value	Count	Frequency (%)
cellular	29285	64.8%
unknown	13020	28.8%
telephone	2906	6.4%

Most occurring characters

Value	Count	Frequency (%)
l	90761	25.8%
u	42305	12.0%
n	41966	11.9%
e	38003	10.8%
c	29285	8.3%
a	29285	8.3%
r	29285	8.3%
o	15926	4.5%
k	13020	3.7%
w	13020	3.7%
Other values (3)	8718	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	351574	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	90761	25.8%
u	42305	12.0%
n	41966	11.9%
e	38003	10.8%
c	29285	8.3%
a	29285	8.3%
r	29285	8.3%
o	15926	4.5%
k	13020	3.7%
w	13020	3.7%
Other values (3)	8718	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	351574	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	90761	25.8%
u	42305	12.0%
n	41966	11.9%
e	38003	10.8%
c	29285	8.3%
a	29285	8.3%
r	29285	8.3%
o	15926	4.5%
k	13020	3.7%
w	13020	3.7%
Other values (3)	8718	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	351574	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	90761	25.8%
u	42305	12.0%
n	41966	11.9%
e	38003	10.8%
c	29285	8.3%
a	29285	8.3%
r	29285	8.3%
o	15926	4.5%
k	13020	3.7%
w	13020	3.7%
Other values (3)	8718	2.5%

day
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.80641879

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	8
median	16
Q3	21
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.322476153
Coefficient of variation (CV)	0.5265250948
Kurtosis	-1.059897373
Mean	15.80641879
Median Absolute Deviation (MAD)	7
Skewness	0.09307901402
Sum	714624
Variance	69.26360932
Monotonicity	Not monotonic

Quantile statistics

Minimum	1
5-th percentile	3
Q1	8
median	16
Q3	21
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.322476153
Coefficient of variation (CV)	0.5265250948
Kurtosis	-1.059897373
Mean	15.80641879
Median Absolute Deviation (MAD)	7
Skewness	0.09307901402
Sum	714624
Variance	69.26360932
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
20	2752	6.1%
18	2308	5.1%
21	2026	4.5%
17	1939	4.3%
6	1932	4.3%
5	1910	4.2%
14	1848	4.1%
8	1842	4.1%
28	1830	4.0%
7	1817	4.0%
Other values (21)	25007	55.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	322	0.7%
2	1293	2.9%
3	1079	2.4%
4	1445	3.2%
5	1910	4.2%
6	1932	4.3%
7	1817	4.0%
8	1842	4.1%
9	1561	3.5%
10	524	1.2%

Value	Count	Frequency (%)
31	643	1.4%
30	1566	3.5%
29	1745	3.9%
28	1830	4.0%
27	1121	2.5%
26	1035	2.3%
25	840	1.9%
24	447	1.0%
23	939	2.1%
22	905	2.0%

month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

may	13766
jul	6895
aug	6247
jun	5341
nov	3970
Other values (7)	8992

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	135633
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	may
2nd row	may
3rd row	may
4th row	may
5th row	may

Common Values

Value	Count	Frequency (%)
may	13766	30.4%
jul	6895	15.3%
aug	6247	13.8%
jun	5341	11.8%
nov	3970	8.8%
apr	2932	6.5%
feb	2649	5.9%
jan	1403	3.1%
oct	738	1.6%
sep	579	1.3%
Other values (2)	691	1.5%

Length

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
20	2752	6.1%
18	2308	5.1%
21	2026	4.5%
17	1939	4.3%
6	1932	4.3%
5	1910	4.2%
14	1848	4.1%
8	1842	4.1%
28	1830	4.0%
7	1817	4.0%
Other values (21)	25007	55.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	322	0.7%
2	1293	2.9%
3	1079	2.4%
4	1445	3.2%
5	1910	4.2%
6	1932	4.3%
7	1817	4.0%
8	1842	4.1%
9	1561	3.5%
10	524	1.2%

Value	Count	Frequency (%)
31	643	1.4%
30	1566	3.5%
29	1745	3.9%
28	1830	4.0%
27	1121	2.5%
26	1035	2.3%
25	840	1.9%
24	447	1.0%
23	939	2.1%
22	905	2.0%

month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

may	13766
jul	6895
aug	6247
jun	5341
nov	3970
Other values (7)	8992

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	135633
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	may
2nd row	may
3rd row	may
4th row	may
5th row	may

Common Values

Value	Count	Frequency (%)
may	13766	30.4%
jul	6895	15.3%
aug	6247	13.8%
jun	5341	11.8%
nov	3970	8.8%
apr	2932	6.5%
feb	2649	5.9%
jan	1403	3.1%
oct	738	1.6%
sep	579	1.3%
Other values (2)	691	1.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
may	13766	30.4%
jul	6895	15.3%
aug	6247	13.8%
jun	5341	11.8%
nov	3970	8.8%
apr	2932	6.5%
feb	2649	5.9%
jan	1403	3.1%
oct	738	1.6%
sep	579	1.3%
Other values (2)	691	1.5%

Most occurring characters

Value	Count	Frequency (%)
a	24825	18.3%
u	18483	13.6%
m	14243	10.5%
y	13766	10.1%
j	13639	10.1%
n	10714	7.9%
l	6895	5.1%
g	6247	4.6%
o	4708	3.5%
v	3970	2.9%
Other values (9)	18143	13.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	135633	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	24825	18.3%
u	18483	13.6%
m	14243	10.5%
y	13766	10.1%
j	13639	10.1%
n	10714	7.9%
l	6895	5.1%
g	6247	4.6%
o	4708	3.5%
v	3970	2.9%
Other values (9)	18143	13.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	135633	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	24825	18.3%
u	18483	13.6%
m	14243	10.5%
y	13766	10.1%
j	13639	10.1%
n	10714	7.9%
l	6895	5.1%
g	6247	4.6%
o	4708	3.5%
v	3970	2.9%
Other values (9)	18143	13.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135633	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	24825	18.3%
u	18483	13.6%
m	14243	10.5%
y	13766	10.1%
j	13639	10.1%
n	10714	7.9%
l	6895	5.1%
g	6247	4.6%
o	4708	3.5%
v	3970	2.9%
Other values (9)	18143	13.4%

duration
Real number (ℝ_≥0)

Distinct	1573
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	258.1630798

Minimum	0
Maximum	4918
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Histogram of lengths of the category

Value	Count	Frequency (%)
may	13766	30.4%
jul	6895	15.3%
aug	6247	13.8%
jun	5341	11.8%
nov	3970	8.8%
apr	2932	6.5%
feb	2649	5.9%
jan	1403	3.1%
oct	738	1.6%
sep	579	1.3%
Other values (2)	691	1.5%

Most occurring characters

Value	Count	Frequency (%)
a	24825	18.3%
u	18483	13.6%
m	14243	10.5%
y	13766	10.1%
j	13639	10.1%
n	10714	7.9%
l	6895	5.1%
g	6247	4.6%
o	4708	3.5%
v	3970	2.9%
Other values (9)	18143	13.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	135633	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	24825	18.3%
u	18483	13.6%
m	14243	10.5%
y	13766	10.1%
j	13639	10.1%
n	10714	7.9%
l	6895	5.1%
g	6247	4.6%
o	4708	3.5%
v	3970	2.9%
Other values (9)	18143	13.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	135633	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	24825	18.3%
u	18483	13.6%
m	14243	10.5%
y	13766	10.1%
j	13639	10.1%
n	10714	7.9%
l	6895	5.1%
g	6247	4.6%
o	4708	3.5%
v	3970	2.9%
Other values (9)	18143	13.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135633	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	24825	18.3%
u	18483	13.6%
m	14243	10.5%
y	13766	10.1%
j	13639	10.1%
n	10714	7.9%
l	6895	5.1%
g	6247	4.6%
o	4708	3.5%
v	3970	2.9%
Other values (9)	18143	13.4%

duration
Real number (ℝ_≥0)

Distinct	1573
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	258.1630798

Minimum	0
Maximum	4918
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Quantile statistics

Minimum	0
5-th percentile	35
Q1	103
median	180
Q3	319
95-th percentile	751
Maximum	4918
Range	4918
Interquartile range (IQR)	216

Descriptive statistics

Standard deviation	257.5278123
Coefficient of variation (CV)	0.9975392782
Kurtosis	18.15391527
Mean	258.1630798
Median Absolute Deviation (MAD)	93
Skewness	3.144318099
Sum	11671811
Variance	66320.57409
Monotonicity	Not monotonic

Quantile statistics

Minimum	0
5-th percentile	35
Q1	103
median	180
Q3	319
95-th percentile	751
Maximum	4918
Range	4918
Interquartile range (IQR)	216

Descriptive statistics

Standard deviation	257.5278123
Coefficient of variation (CV)	0.9975392782
Kurtosis	18.15391527
Mean	258.1630798
Median Absolute Deviation (MAD)	93
Skewness	3.144318099
Sum	11671811
Variance	66320.57409
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
124	188	0.4%
90	184	0.4%
89	177	0.4%
104	175	0.4%
122	175	0.4%
114	175	0.4%
136	174	0.4%
139	174	0.4%
112	174	0.4%
121	173	0.4%
Other values (1563)	43442	96.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	2	< 0.1%
2	3	< 0.1%
3	4	< 0.1%
4	15	< 0.1%
5	35	0.1%
6	45	0.1%
7	73	0.2%
8	85	0.2%
9	77	0.2%

Value	Count	Frequency (%)
4918	1	< 0.1%
3881	1	< 0.1%
3785	1	< 0.1%
3422	1	< 0.1%
3366	1	< 0.1%
3322	1	< 0.1%
3284	1	< 0.1%
3253	1	< 0.1%
3183	1	< 0.1%
3102	1	< 0.1%

campaign
Real number (ℝ_≥0)

Distinct	48
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.763840658

Minimum	1
Maximum	63
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
124	188	0.4%
90	184	0.4%
89	177	0.4%
104	175	0.4%
122	175	0.4%
114	175	0.4%
136	174	0.4%
139	174	0.4%
112	174	0.4%
121	173	0.4%
Other values (1563)	43442	96.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	2	< 0.1%
2	3	< 0.1%
3	4	< 0.1%
4	15	< 0.1%
5	35	0.1%
6	45	0.1%
7	73	0.2%
8	85	0.2%
9	77	0.2%

Value	Count	Frequency (%)
4918	1	< 0.1%
3881	1	< 0.1%
3785	1	< 0.1%
3422	1	< 0.1%
3366	1	< 0.1%
3322	1	< 0.1%
3284	1	< 0.1%
3253	1	< 0.1%
3183	1	< 0.1%
3102	1	< 0.1%

campaign
Real number (ℝ_≥0)

Distinct	48
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.763840658

Minimum	1
Maximum	63
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	8
Maximum	63
Range	62
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.098020883
Coefficient of variation (CV)	1.120911538
Kurtosis	39.2496508
Mean	2.763840658
Median Absolute Deviation (MAD)	1
Skewness	4.898650166
Sum	124956
Variance	9.597733393
Monotonicity	Not monotonic

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	8
Maximum	63
Range	62
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.098020883
Coefficient of variation (CV)	1.120911538
Kurtosis	39.2496508
Mean	2.763840658
Median Absolute Deviation (MAD)	1
Skewness	4.898650166
Sum	124956
Variance	9.597733393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
1	17544	38.8%
2	12505	27.7%
3	5521	12.2%
4	3522	7.8%
5	1764	3.9%
6	1291	2.9%
7	735	1.6%
8	540	1.2%
9	327	0.7%
10	266	0.6%
Other values (38)	1196	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	17544	38.8%
2	12505	27.7%
3	5521	12.2%
4	3522	7.8%
5	1764	3.9%
6	1291	2.9%
7	735	1.6%
8	540	1.2%
9	327	0.7%
10	266	0.6%

Value	Count	Frequency (%)
63	1	< 0.1%
58	1	< 0.1%
55	1	< 0.1%
51	1	< 0.1%
50	2	< 0.1%
46	1	< 0.1%
44	1	< 0.1%
43	3	< 0.1%
41	2	< 0.1%
39	1	< 0.1%

pdays
Real number (ℝ)

HIGH CORRELATION

Distinct	559
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.19782796

Minimum	-1
Maximum	871
Zeros	0
Zeros (%)	0.0%
Negative	36954
Negative (%)	81.7%
Memory size	353.3 KiB

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
1	17544	38.8%
2	12505	27.7%
3	5521	12.2%
4	3522	7.8%
5	1764	3.9%
6	1291	2.9%
7	735	1.6%
8	540	1.2%
9	327	0.7%
10	266	0.6%
Other values (38)	1196	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	17544	38.8%
2	12505	27.7%
3	5521	12.2%
4	3522	7.8%
5	1764	3.9%
6	1291	2.9%
7	735	1.6%
8	540	1.2%
9	327	0.7%
10	266	0.6%

Value	Count	Frequency (%)
63	1	< 0.1%
58	1	< 0.1%
55	1	< 0.1%
51	1	< 0.1%
50	2	< 0.1%
46	1	< 0.1%
44	1	< 0.1%
43	3	< 0.1%
41	2	< 0.1%
39	1	< 0.1%

pdays
Real number (ℝ)

HIGH CORRELATION

Distinct	559
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.19782796

Minimum	-1
Maximum	871
Zeros	0
Zeros (%)	0.0%
Negative	36954
Negative (%)	81.7%
Memory size	353.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	-1
95-th percentile	317
Maximum	871
Range	872
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	100.128746
Coefficient of variation (CV)	2.490899411
Kurtosis	6.93519521
Mean	40.19782796
Median Absolute Deviation (MAD)	0
Skewness	2.615715474
Sum	1817384
Variance	10025.76577
Monotonicity	Not monotonic

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	-1
95-th percentile	317
Maximum	871
Range	872
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	100.128746
Coefficient of variation (CV)	2.490899411
Kurtosis	6.93519521
Mean	40.19782796
Median Absolute Deviation (MAD)	0
Skewness	2.615715474
Sum	1817384
Variance	10025.76577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	36954	81.7%
182	167	0.4%
92	147	0.3%
91	126	0.3%
183	126	0.3%
181	117	0.3%
370	99	0.2%
184	85	0.2%
364	77	0.2%
95	74	0.2%
Other values (549)	7239	16.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	36954	81.7%
1	15	< 0.1%
2	37	0.1%
3	1	< 0.1%
4	2	< 0.1%
5	11	< 0.1%
6	10	< 0.1%
7	7	< 0.1%
8	25	0.1%
9	12	< 0.1%

Value	Count	Frequency (%)
871	1	< 0.1%
854	1	< 0.1%
850	1	< 0.1%
842	1	< 0.1%
838	1	< 0.1%
831	1	< 0.1%
828	1	< 0.1%
826	1	< 0.1%
808	1	< 0.1%
805	1	< 0.1%

previous
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	41
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5803233726

Minimum	0
Maximum	275
Zeros	36954
Zeros (%)	81.7%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	36954	81.7%
182	167	0.4%
92	147	0.3%
91	126	0.3%
183	126	0.3%
181	117	0.3%
370	99	0.2%
184	85	0.2%
364	77	0.2%
95	74	0.2%
Other values (549)	7239	16.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	36954	81.7%
1	15	< 0.1%
2	37	0.1%
3	1	< 0.1%
4	2	< 0.1%
5	11	< 0.1%
6	10	< 0.1%
7	7	< 0.1%
8	25	0.1%
9	12	< 0.1%

Value	Count	Frequency (%)
871	1	< 0.1%
854	1	< 0.1%
850	1	< 0.1%
842	1	< 0.1%
838	1	< 0.1%
831	1	< 0.1%
828	1	< 0.1%
826	1	< 0.1%
808	1	< 0.1%
805	1	< 0.1%

previous
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	41
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5803233726

Minimum	0
Maximum	275
Zeros	36954
Zeros (%)	81.7%
Negative	0
Negative (%)	0.0%
Memory size	353.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	275
Range	275
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.303441045
Coefficient of variation (CV)	3.969237073
Kurtosis	4506.86066
Mean	0.5803233726
Median Absolute Deviation (MAD)	0
Skewness	41.84645447
Sum	26237
Variance	5.305840647
Monotonicity	Not monotonic

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	275
Range	275
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.303441045
Coefficient of variation (CV)	3.969237073
Kurtosis	4506.86066
Mean	0.5803233726
Median Absolute Deviation (MAD)	0
Skewness	41.84645447
Sum	26237
Variance	5.305840647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0	36954	81.7%
1	2772	6.1%
2	2106	4.7%
3	1142	2.5%
4	714	1.6%
5	459	1.0%
6	277	0.6%
7	205	0.5%
8	129	0.3%
9	92	0.2%
Other values (31)	361	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36954	81.7%
1	2772	6.1%
2	2106	4.7%
3	1142	2.5%
4	714	1.6%
5	459	1.0%
6	277	0.6%
7	205	0.5%
8	129	0.3%
9	92	0.2%

Value	Count	Frequency (%)
275	1	< 0.1%
58	1	< 0.1%
55	1	< 0.1%
51	1	< 0.1%
41	1	< 0.1%
40	1	< 0.1%
38	2	< 0.1%
37	2	< 0.1%
35	1	< 0.1%
32	1	< 0.1%

poutcome
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

unknown	36959
failure	4901
other	1840
success	1511

Length

Max length	7
Median length	7
Mean length	6.91860388
Min length	5

Characters and Unicode

Total characters	312797
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	unknown
3rd row	unknown
4th row	unknown
5th row	unknown

Common Values

Value	Count	Frequency (%)
unknown	36959	81.7%
failure	4901	10.8%
other	1840	4.1%
success	1511	3.3%

Length

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0	36954	81.7%
1	2772	6.1%
2	2106	4.7%
3	1142	2.5%
4	714	1.6%
5	459	1.0%
6	277	0.6%
7	205	0.5%
8	129	0.3%
9	92	0.2%
Other values (31)	361	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36954	81.7%
1	2772	6.1%
2	2106	4.7%
3	1142	2.5%
4	714	1.6%
5	459	1.0%
6	277	0.6%
7	205	0.5%
8	129	0.3%
9	92	0.2%

Value	Count	Frequency (%)
275	1	< 0.1%
58	1	< 0.1%
55	1	< 0.1%
51	1	< 0.1%
41	1	< 0.1%
40	1	< 0.1%
38	2	< 0.1%
37	2	< 0.1%
35	1	< 0.1%
32	1	< 0.1%

poutcome
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

unknown	36959
failure	4901
other	1840
success	1511

Length

Max length	7
Median length	7
Mean length	6.91860388
Min length	5

Characters and Unicode

Total characters	312797
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	unknown
3rd row	unknown
4th row	unknown
5th row	unknown

Common Values

Value	Count	Frequency (%)
unknown	36959	81.7%
failure	4901	10.8%
other	1840	4.1%
success	1511	3.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
unknown	36959	81.7%
failure	4901	10.8%
other	1840	4.1%
success	1511	3.3%

Most occurring characters

Value	Count	Frequency (%)
n	110877	35.4%
u	43371	13.9%
o	38799	12.4%
k	36959	11.8%
w	36959	11.8%
e	8252	2.6%
r	6741	2.2%
f	4901	1.6%
a	4901	1.6%
i	4901	1.6%
Other values (5)	16136	5.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	312797	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	110877	35.4%
u	43371	13.9%
o	38799	12.4%
k	36959	11.8%
w	36959	11.8%
e	8252	2.6%
r	6741	2.2%
f	4901	1.6%
a	4901	1.6%
i	4901	1.6%
Other values (5)	16136	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	312797	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	110877	35.4%
u	43371	13.9%
o	38799	12.4%
k	36959	11.8%
w	36959	11.8%
e	8252	2.6%
r	6741	2.2%
f	4901	1.6%
a	4901	1.6%
i	4901	1.6%
Other values (5)	16136	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	312797	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	110877	35.4%
u	43371	13.9%
o	38799	12.4%
k	36959	11.8%
w	36959	11.8%
e	8252	2.6%
r	6741	2.2%
f	4901	1.6%
a	4901	1.6%
i	4901	1.6%
Other values (5)	16136	5.2%

y
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	44.3 KiB

False	39922
True	5289

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	39922	88.3%
True	5289	11.7%

Value	Count	Frequency (%)
unknown	36959	81.7%
failure	4901	10.8%
other	1840	4.1%
success	1511	3.3%

Most occurring characters

Value	Count	Frequency (%)
n	110877	35.4%
u	43371	13.9%
o	38799	12.4%
k	36959	11.8%
w	36959	11.8%
e	8252	2.6%
r	6741	2.2%
f	4901	1.6%
a	4901	1.6%
i	4901	1.6%
Other values (5)	16136	5.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	312797	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	110877	35.4%
u	43371	13.9%
o	38799	12.4%
k	36959	11.8%
w	36959	11.8%
e	8252	2.6%
r	6741	2.2%
f	4901	1.6%
a	4901	1.6%
i	4901	1.6%
Other values (5)	16136	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	312797	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	110877	35.4%
u	43371	13.9%
o	38799	12.4%
k	36959	11.8%
w	36959	11.8%
e	8252	2.6%
r	6741	2.2%
f	4901	1.6%
a	4901	1.6%
i	4901	1.6%
Other values (5)	16136	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	312797	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	110877	35.4%
u	43371	13.9%
o	38799	12.4%
k	36959	11.8%
w	36959	11.8%
e	8252	2.6%
r	6741	2.2%
f	4901	1.6%
a	4901	1.6%
i	4901	1.6%
Other values (5)	16136	5.2%

y
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	44.3 KiB

False	39922
True	5289

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	39922	88.3%
True	5289	11.7%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Auto

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Spearman's ρ

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Pearson's r

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Kendall's τ

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Cramér's V (φc)

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	poutcome	y
0	58	management	married	tertiary	no	2143	yes	no	unknown	5	may	261	1	-1	unknown	no
1	44	technician	single	secondary	no	29	yes	no	unknown	5	may	151	1	-1	unknown	no
2	33	entrepreneur	married	secondary	no	2	yes	yes	unknown	5	may	76	1	-1	unknown	no
3	47	blue-collar	married	unknown	no	1506	yes	no	unknown	5	may	92	1	-1	unknown	no
4	33	unknown	single	unknown	no	1	no	no	unknown	5	may	198	1	-1	unknown	no
5	35	management	married	tertiary	no	231	yes	no	unknown	5	may	139	1	-1	unknown	no
6	28	management	single	tertiary	no	447	yes	yes	unknown	5	may	217	1	-1	unknown	no
7	42	entrepreneur	divorced	tertiary	yes	2	yes	no	unknown	5	may	380	1	-1	unknown	no
8	58	retired	married	primary	no	121	yes	no	unknown	5	may	50	1	-1	unknown	no
9	43	technician	single	secondary	no	593	yes	no	unknown	5	may	55	1	-1	unknown	no

Last rows

	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	previous	poutcome	y
45201	53	management	married	tertiary	no	583	no	no	cellular	17	nov	226	1	184	4	success	yes
45202	34	admin.	single	secondary	no	557	no	no	cellular	17	nov	224	1	-1	0	unknown	yes
45203	23	student	single	tertiary	no	113	no	no	cellular	17	nov	266	1	-1	0	unknown	yes
45204	73	retired	married	secondary	no	2850	no	no	cellular	17	nov	300	1	40	8	failure	yes
45205	25	technician	single	secondary	no	505	no	yes	cellular	17	nov	386	2	-1	0	unknown	yes
45206	51	technician	married	tertiary	no	825	no	no	cellular	17	nov	977	3	-1	0	unknown	yes
45207	71	retired	divorced	primary	no	1729	no	no	cellular	17	nov	456	2	-1	0	unknown	yes
45208	72	retired	married	secondary	no	5715	no	no	cellular	17	nov	1127	5	184	3	success	yes
45209	57	blue-collar	married	secondary	no	668	no	no	telephone	17	nov	508	4	-1	0	unknown	no
45210	37	entrepreneur	married	secondary	no	2971	no	no	cellular	17	nov	361	2	188	11	other	no

Overview

Variables

Overview

Variables

Common Values

Length

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter